This is a collection of simple and illustrative Cassandra Shop application. The purpose of this collection is to help new Cassandra users better understand Cassandra and to present illustrative use cases.

If you don't have access to a Cassandra cluster, you can get started by installing with HomeBrew for Mac.

If you already have access to a Cassandra cluster, you should be able to start running this example application right away. All you have to do is set an environment variable on your client indicating where your cluster is located:

   $ export BACKEND_STORAGE_IP='mycluster_ip'

However, if you don't have access to a Cassandra cluster, you can get started by installing Ferry. Ferry is an open-source tool that helps developers provision virtual clusters on a local machine. Ferry supports Cassandra (and other "big data" tools) and doesn't require that you actually know how to configure Cassandra to get started.

Assuming that you are using Ferry, you should run all these commands in a Cassandra client. The first thing to do is install all the prerequisite packages. They can be found in requirements.txt. Here's a simple way to do it from the command line using pip.

   $ pip install -r requirements.txt

Afterwards, you'll want to set up the Cassandra keyspace for our application.

   $ cqlsh -f createtable.cql

After creating the table, you should be able to start the web server by typing:

   $ python app.py runserver

Afterwards, insert some data into Cassandra by typing:

   $ python rest-client.py post

Then, let's see what data got inserted.

   $ python rest-client.py fetch  

Also, let's update what data got inserted.

   $ python rest-client.py update  

Finally, let's delete the data that got inserted.

   $ python rest-client.py delete